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Cross-modal retrieval emphasizes understanding inter-modality semantic correlations, which is often achieved by designing a similarity function. Generally, one of the most important things considered by the similarity function is how to make the cross-modal similarity computable. In this paper, a deep and bidirectional representation learning model is proposed to address the issue of image–text cross-modal...
For enhancing the trustworthiness of business processes, a business process definition method is given and a kind of dynamic semantics is appointed to this business process definition. The dynamic semantics is expressed as a finite state automata. According to the dynamic semantics, algorithms are proposed to analyze the trustworthiness of the business processes.
A business process definition method is given and a kind of dynamic semantics is appointed to this business process definition. The dynamic semantics is expressed as a finite state automata and can be used to analyze the trustworthiness of business processes. A state space reduction algorithm is proposed to solve the state space explosion problem which exists when there are a lot of concurrent activities...
Currently there exist many kinds of semantic Web Service models on the internet. They are heterogeneous so that it is hard to understand and interoperate each other. In this paper, we study several mainstream semantic Web Service models, and extract meta-models for each from the perspective of semantic Web Service discovery. Based on this, we propose the universal meta-model for semantic Web Service...
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